Run
8560989

Run 8560989

Task 145979 (Supervised Classification) spambase Uploaded 26-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees1794
mlr.classif.ranger(16)_mtry16
mlr.classif.ranger(16)_min.node.size474
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.343233353248797
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_openml.normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9592
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9092
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8096
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2585.4133
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2324
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4776
Cross-validation details (10-fold Crossvalidation)
Number of instances
4601
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9092
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9094
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9094
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4866
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2941
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.602
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1366.225
UserCPU time millis
29.55
UserCPU time millis testing
1.914
UserCPU time millis training
27.636